Too great to act in solidarity: The negative relationship between collective narcissism and solidarity‐based collective action
Bibliographic record
Abstract
Abstract Three studies examined the association between narcissistic identification with one’s advantaged in‐group and engagement in solidarity‐based collective action. Drawing on theory and past research, a negative effect of collective narcissism on solidarity‐based collective action was expected. A two‐wave longitudinal study (N = 162) found that Polish participants’ narcissistic, but not secure, national identification decreased their willingness to engage in collective action in solidarity with refugees over time. A field study (N = 258) performed during a mass protest against a proposed abortion ban showed that men’s gender‐based collective narcissism was a negative predictor of solidarity‐based engagement (operationalized as protest behavior and collective action intentions) and this effect was mediated by lowered empathy for women. Finally, a web‐based survey (N = 1,992) revealed that heterosexual/cisgender individuals’ collective narcissism was negatively associated with collective action intentions in support of LGBT rights and that this effect was sequentially mediated by increased intergroup anxiety and decreased empathy for LGBT people. Theoretical implications of the present findings, research limitations, and future directions are discussed.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".